Gradient Acceleration in Activation Functions. - Sangchul Hahn; Heeyoul Choi (CoRR, 2018)

Disentangling Latent Factors with Whitening. - Sangchul Hahn; Heeyoul Choi (CoRR, 2018)

Disentangling Latent Factors of Variational Auto-encoder with Whitening. - Sangchul Hahn; Heeyoul Choi (ICANN (3), 2019)

Self-Knowledge Distillation in Natural Language Processing. - Sangchul Hahn; Heeyoul Choi (RANLP, 2019)

Understanding dropout as an optimization trick. - Sangchul Hahn; Heeyoul Choi (Neurocomputing, 2020)

Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution. - Kwanhyung Lee; John Won; Heejung Hyun; Sangchul Hahn; Edward Choi; Joohyung Lee 003 (CoRR, 2022)

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. - Kwanhyung Lee; Soojeong Lee; Sangchul Hahn; Heejung Hyun; Edward Choi; Byungeun Ahn; Joohyung Lee 003 (MLHC, 2023)

Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution. - Kwanhyung Lee; John Won; Heejung Hyun; Sangchul Hahn; Edward Choi; Joohyung Lee 003 (TML4H, 2023)

Compact and De-Biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification. - Joohyung Lee 003; Heejeong Nam; Kwanhyung Lee; Sangchul Hahn (ICASSP, 2024)

DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values. - Changhun Kim; Yechan Mun; Sangchul Hahn; Eunho Yang (CoRR, 2025)